So far in the series of articles we have seen how to create a mapreduce program without writing explicit mapper or reducer also in the second part we wrote the wordcount with our own custom mapper and reducer In this article we will have a look at the modification to our previous program wordcount with our own…
Apache's Hadoop project aims to solve these problems by providing a framework for running large data processing applications on clusters of commodity hardware. Combined with Amazon EC2 for running the application, and Amazon S3 for storing the data, we can run large jobs very economically. This paper describes how to use Amazon Web Services and Hadoop to run an ad hoc analysis on a large collection of web access logs that otherwise would have cost a prohibitive amount in either time or money.
Introduction This document describes how Map and Reduce operations are carried out in Hadoop. If you are not familiar with the Google [WWW] MapReduce programming model you should get acquainted with it first.